Identification and validation of a histone modification-related gene signature to predict the prognosis of multiple myeloma.

ABSTRACT:

Background

Multiple myeloma (MM) is an incurable plasma cell malignancy with high heterogeneity. Current staging systems, including the International Staging System (ISS) and Revised ISS (R-ISS), have limited prognostic accuracy. Given the role of histone modifications in MM progression, we developed a histone modification-related (HMR) prognostic model to improve MM risk stratification.

Methods

Gene expression and mutation data were downloaded from the Gene Expression Omnibus database and the Cancer Genome Atlas. Prognostic HMR-related genes were identified through a combination of univariate Cox regression, least absolute shrinkage and selection operator Cox regression, and random survival forest analysis. The genes identified were then used to construct the HMR risk score

SUBMITTER: Lyu J 

PROVIDER: S-EPMC12422906 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature